• DocumentCode
    3239219
  • Title

    Exploiting the cancer and diabetes metabolic connection for therapeutic purposes

  • Author

    Arshad, Osama ; Venkatasubramami, Priyadharshini S. ; Datta, Amitava ; Venkatraj, Jijayanagaram

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2013
  • fDate
    17-19 Nov. 2013
  • Firstpage
    44
  • Lastpage
    44
  • Abstract
    The uncontrolled cell proliferation that is characteristically associated with cancer is usually accompanied by alterations in the genome and cell metabolism. Indeed, the phenomenon of cancer cells metabolizing glucose using a less efficient anaerobic process even in the presence of normal oxygen levels, termed the Warburg effect, is currently considered to be one of the hallmarks of cancer. Diabetes, much like cancer, is defined by significant metabolic changes. Recent epidemiological studies have shown that diabetes patients treated with the anti-diabetic drug Metformin, have significantly lowered risk of cancer as compared to patients treated with other anti-diabetic drugs. We utilize a Boolean logic model of the pathways commonly mutated in cancer to not only investigate the efficacy of Metformin for cancer therapeutic purposes but also demonstrate how Metformin in concert with standard therapeutic drugs could provide better and less toxic clinical outcomes as compared to using chemotherapy alone.
  • Keywords
    Boolean functions; biochemistry; cancer; cellular biophysics; drugs; Boolean logic model; Warburg effect; cancer cells; cancer therapeutic purposes; cancer-diabetes metabolic connection; cell metabolism alterations; genome alterations; glucose metabolism; metformin antidiabetic drug; uncontrolled cell proliferation; Bioinformatics; Breast cancer; Diabetes; Drugs; Educational institutions; Cancer; Metformin; Warburg effect; combination therapy design; diabetes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics (GENSIPS), 2013 IEEE International Workshop on
  • Conference_Location
    Houston, TX
  • Print_ISBN
    978-1-4799-3461-4
  • Type

    conf

  • DOI
    10.1109/GENSIPS.2013.6735926
  • Filename
    6735926